Paper
1 March 2019 In silico investigation of near-infrared light propagation in the joints of the human hand
Author Affiliations +
Abstract
Optical tomography imaging (OTI) of joints is challenging since light is highly scattered by tissue, leading to poor spatial resolution. Image quality can be improved by early-photons imaging; however, the image reconstruction will require more advanced forward models than the classic methods based on the diffusion approximation. We aim to use Monte-Carlo simulations as forward model for early-photons OTI. To test the feasibility, DICOM images of the hand of an adult male, obtained from an MRI, were imported into 3DSlicer where the bones and soft tissue were segmented. The MATLAB-based toolbox Iso2Mesh was used to generate a 3D volumetric mesh of the segmented image. Typical optical properties (i.e., absorption coefficient, scattering coefficient, anisotropic index, and refractive index) of bone and soft tissue were assigned to each node of the 3D mesh and light propagation was simulated using the Mesh-based MonteCarlo (MMC) toolbox. Our results show that our approach can reliable model propagation of early-photons in the highly heterogeneous human wrist.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Cohen and Mamadou Diop "In silico investigation of near-infrared light propagation in the joints of the human hand ", Proc. SPIE 10874, Optical Tomography and Spectroscopy of Tissue XIII, 1087427 (1 March 2019); https://doi.org/10.1117/12.2508933
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Bone

Tissues

Sensors

Picosecond phenomena

Image segmentation

Tissue optics

Optical properties

Back to Top